ITU

Human-Centered Data Science

Organisational unit: Research Group

IT University of Copenhagen
Rued Langgaards Vej 7
DK-2300 Copenhagen S
Denmark

Contact information

Organisation profile

The Human-Centered Data Science research group (HCDS) focuses on the human factors in the conception, use, and understanding of data. Positioned in the intersection of data science, social science, HCI, and CSCW we are interested in understanding and exploring human practices enabled by technology. We combine both quantitative and qualitative methods, and work with computational methods such as statistics, machine learning, network analysis together with qualitative methods such as ethnography, interviews, and observations. Our research aims to contribute to often overlooked human-centered dimensions of data science such as individual differences, domain-expertise, design implications, and societal impact. Within HCDS we work across several topics, including digital media platforms, information visualization, crowd sourcing, affective computing, behavioral modeling, and societal challenges related to digital infrastructure more broadly.

  1. 2022
  2. Published

    Virtual reality reduces COVID-19 vaccine hesitancy in the wild: a randomized trial

    Vandeweerdt, C., Luong, T., Atchapero, M., Mottelson, A., Holz, C., Makransky, G. & Böhm, R., Mar 2022, In: Scientific Reports. 12, 1

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  3. Published

    Measuring Violence: A Computational Analysis of Violence and Propagation of Image Tweets From Political Protest

    Rossi, L., Neumayer, C., Henrichsen, J. & Beck, L., 31 Jan 2022, In: Social Science Computer Review.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  4. Published

    How minimizing conflicts could lead to polarization on social media: An agent-based model investigation

    Coscia, M. & Rossi, L., 27 Jan 2022, In: PLOS ONE. 17, 1

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  5. 2021
  6. Published

    (Nearly) Ten Years of Social Media and Political Elections in Italy: Questions, Platforms, and Methods

    Rossi, L., Righetti, N. & Marino, G., 8 Dec 2021, In: Social Media + Society. 7, 4

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  7. Published

    Analysis of Multiplex Social Networks with R

    Magnani, M., Rossi, L. & Vega, D., 2 Jun 2021, In: Journal of Statistical Software. 98, 8

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  8. Published

    Community Detection in Multiplex Networks

    Magnani, M., Hanteer, O., Interdonato, R., Rossi, L. & Tagarelli, A., May 2021, In: ACM Computing Surveys. 54, 3, 48.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  9. Published

    Invisible Data: A Framework for Understanding Visibility Processes in Social Media Data

    Neumayer, C., Rossi, L. & David M., S., 1 Jan 2021, In: Social Media + Society. 7, 1

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  10. Published

    A self-administered virtual reality intervention increases COVID-19 vaccination intention

    Mottelson, A., Vandeweerdt, C., Atchapero, M., Luong, T., Holz, C., Böhm, R. & Makransky, G., 2021, In: Vaccine.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  11. Published

    Contrapuntal Connectedness: Analysing Relations Between Social Media Data and Ethnography in Digital Migration Studies

    Sandberg, M., Grønlykke Mollerup, N. & Rossi, L., 2021, Research Methodologies and Ethical Challenges in Digital Migration Studies. Palgrave Macmillan, p. 53-85 (Approaches To Social Inequality And Difference).

    Research output: Conference Article in Proceeding or Book/Report chapterBook chapterResearchpeer-review

  12. Published

    Migrant Digital Space: Building an Incomplete Map to Navigate Public Online Migration

    Makrygianni, V., Kamal, A., Rossi, L. & Galis, V., 2021, Research Methodologies and Ethical Challenges in Digital Migration Studies: Caring For (Big) Data?. Palgrave Macmillan, p. 25-52 (Approaches To Social Inequality And Difference).

    Research output: Conference Article in Proceeding or Book/Report chapterBook chapterResearchpeer-review

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